Formal Quantitative Analysis of Reaction Networks Using Chemical Organisation Theory

Chunyan Mu, Peter Dittrich, David Parker, Jonathan E. Rowe

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    Abstract

    Chemical organisation theory is a framework developed to simplify the analysis of long-term behaviour of chemical systems. An organisation is a set of objects which are closed and self-maintaining. In this paper, we build on these ideas to develop novel techniques for formal quantitative analysis of chemical reaction networks, using discrete stochastic models represented as continuous-time Markov chains. We propose methods to identify organisations, to study quantitative properties regarding movement between these organisations and to construct an organisation-based coarse graining of the model that can be used to approximate and predict the behaviour of the original reaction network.
    Original languageEnglish
    Title of host publicationComputational Methods in Systems Biology. CMSB 2016
    PublisherSpringer
    ISBN (Electronic)9783319451770
    ISBN (Print)9783319451763
    DOIs
    Publication statusPublished - 21 Sep 2016
    Event14th International Conference on Computational Methods in Systems Biology - Computer Laboratory, University of Cambridge, Cambridge, United Kingdom
    Duration: 21 Sep 201623 Sep 2016
    https://www.cl.cam.ac.uk/events/cmsb2016/

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer
    Volume9859
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference14th International Conference on Computational Methods in Systems Biology
    Abbreviated titleCMSB 2016
    Country/TerritoryUnited Kingdom
    CityCambridge
    Period21/09/1623/09/16
    Internet address

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